Paper Info
Title
BCS: A Binary Cuckoo Search algorithm for feature selection
Abstract
Feature selection has been actively pursued in the last years, since to find the most discriminative set of features can enhance the recognition rates and also to make feature extraction faster. In this paper, the propose a new feature selection called Binary Cuckoo Search, which is based on the behavior of cuckoo birds. The experiments were carried out in the context of theft detection in power distribution systems in two datasets obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques.
Year
DOI
Venue
2013
10.1109/ISCAS.2013.6571881
Circuits and Systems
Keywords
Field
DocType
search problems,set theory,BCS,Brazilian electrical power company,binary cuckoo search algorithm,cuckoo birds,feature extraction,feature selection,optimization techniques,power distribution systems,rate recognition,theft detection
Set theory,Pattern recognition,Feature selection,Computer science,Cuckoo,Robustness (computer science),Cuckoo search,Feature extraction,Artificial intelligence,Discriminative model,Machine learning,Binary number
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-4673-5760-9
6
PageRank 
References 
Authors
0.44
0
7
Name
Order
Citations
PageRank
Douglas Rodrigues1765.12
Luís A. M. Pereira21298.87
T. N. S. Almeida360.44
João Paulo Papa427844.60
André N. Souza51269.61
Caio C. O. Ramos6524.92
Xin-She Yang75433241.09